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ORCIDEugenia Mylona
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2020 – today
- 2024
[j3]Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, George K. Matsopoulos, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
ResQu-Net: Effective prostate's peripheral zone segmentation leveraging the representational power of attention-based mechanisms. Biomed. Signal Process. Control. 93: 106187 (2024)- [j2]Dimitrios I. Zaridis, Eugenia Mylona, Nikos Tsiknakis, Nikolaos S. Tachos, George K. Matsopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis:
ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions. Patterns 5(7): 100992 (2024) - 2023
- [c14]Christos Raspoptsis, Eugenia Mylona
, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Paula Poikonen-Saksela, Panagiotis G. Simos, Evangelos Karademas, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Dimitrios I. Fotiadis:
Predicting Quality of Life for Breast Cancer Patients *. BHI 2023: 1-4 - [c13]Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios D. Koutsouris, George K. Matsopoulos, Dimitrios I. Fotiadis:
Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation. BIBE 2023: 422-426 - [c12]Eugenia Mylona, Dimitrios G. Zaridis, Nikolaos S. Tachos, Manolis Tsiknakis, Kostas Marias, Dimitrios I. Fotiadis:
Diagnosis of Clinical Significant Prostate Cancer on Biparametric Mri Using Zone-Specific Radiomic Features. ISBI 2023: 1-4 - 2022
- [j1]Vasileios C. Pezoulas, Konstantina D. Kourou, Eugenia Mylona, Costas Papaloukas, Angelos Liontos, Dimitrios I. Biros, Orestis I. Milionis, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis:
ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints. Comput. Biol. Medicine 141: 105176 (2022) - [c11]Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Evangelos Karademas, Kostas Marias, Ketti Mazzocco, Paula Poikonen-Saksela, Ruth Pat-Horenczyk, Berta Sousa, Panagiotis G. Simos, Dimitrios I. Fotiadis:
Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis. BHI 2022: 1-4 - [c10]Vasileios C. Pezoulas, Eugenia Mylona, Costas Papaloukas, Angelos Liontos, Dimitrios I. Biros, Orestis I. Milionis, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis:
A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration. BHI 2022: 1-4 - [c9]Dimitris Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Kostas Marias, Manolis Tsiknakis, Dimitios I. Fotiadis:
Fine-tuned feature selection to improve prostate segmentation via a fully connected meta-learner architecture. BHI 2022: 1-4 - [c8]Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Evangelos Karademas, Paula Poikonen-Saksela, Ketti Mazzocco, Chiara Marzorati, Ruth Pat-Horenczyk, Ilan Roziner, Berta Sousa, Albino J. Oliveira-Maia, Panagiotis G. Simos, Dimitrios I. Fotiadis:
Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study. EMBC 2022: 69-72 - [c7]Vasileios C. Pezoulas, Angelos Liontos, Eugenia Mylona, Costas Papaloukas, Orestis I. Milionis, Dimitrios I. Biros, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis:
Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin. EMBC 2022: 1020-1023 - 2021
- [c6]Dimitrios G. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis:
A Deep Learning-based cropping technique to improve segmentation of prostate's peripheral zone. BIBE 2021: 1-4 - [c5]Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Evangelos Karademas, Paula Poikonen-Saksela, Ketti Mazzocco, Chiara Marzorati, Ruth Pat-Horenczyk, Ilan Roziner, Berta Sousa, Albino J. Oliveira-Maia, Panagiotis G. Simos, Dimitrios I. Fotiadis:
Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1. EMBC 2021: 1753-1756 - [c4]Carlos Sosa Marrero, Pierre Fontaine, Eugenia Mylona, Khémara Gnep, Alfredo I. Hernández, François Paris, Renaud de Crevoisier, Oscar Acosta:
Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy. ISBI 2021: 1-4 - [c3]Hilda Chourak, Anaïs Barateau, Eugenia Mylona, Capucine Cadin, Caroline Lafond, Peter B. Greer, Jason Dowling, Jean-Claude Nunes, Renaud de Crevoisier, Oscar Acosta:
Voxel-Wise Analysis for Spatial Characterisation of Pseudo-CT Errors in MRI-Only Radiotherapy Planning. ISBI 2021: 395-399 - [i1]Dimitrios G. Zaridis, Eugenia Mylona, Kostas Marias, Nikolaos Papanikolaou, Nikolaos S. Tachos, Dimitrios I. Fotiadis:
A new smart-cropping pipeline for prostate segmentation using deep learning networks. CoRR abs/2107.02476 (2021) - 2020
- [c2]Filippos Filias, Eugenia Mylona, Kostas Blekos, Stéphane Supiot, Renaud de Crevoisier, Oscar Acosta:
Ensemble Learning for Prediction of Toxicity in Prostate Cancer Radiotherapy: Comparison Between Stacking and Genetic Algorithm Weighted Voting. BIBE 2020: 884-889
2010 – 2019
- 2019
- [c1]Eugenia Mylona, Clement Lebreton, Pierre Fontaine, Stéphane Supiot, Nicolas Magne, Gilles Créhange, Renaud de Crevoisier, Oscar Acosta:
Comparison of Machine Learning Algorithms and Oversampling Techniques for Urinary Toxicity Prediction After Prostate Cancer Radiotherapy. BIBE 2019: 964-971
Coauthor Index
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last updated on 2024-08-14 23:18 CEST by the dblp team
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